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OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
Llama3.1-8B (Base)
Residual Stream
29-LLAMASCOPE-RES-32K
17270
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MODEL
29-llamascope-res-32k
Source/SAE
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Explanations
reference to age categories in sports or competitions
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
LLAMA3.1-8B @ 29-llamascope-res-32k
Configuration
fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L29R-8x
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
cerebras/SlimPajama-627B
Features
32,768
Data Type
bfloat16
Hook Name
blocks.29.hook_resid_post
Hook Layer
29
Architecture
jumprelu
Context Size
1,024
Dataset
cerebras/SlimPajama-627B
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/llama3.1-8b/29-llamascope-res-32k/17270?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
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https://www.neuronpedia.org/llama3.1-8b/29-llamascope-res-32k/17270?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
abei
-0.17
hole
-0.16
izr
-0.15
Hole
-0.15
iston
-0.15
anki
-0.14
Teach
-0.14
.Qt
-0.14
548
-0.14
uner
-0.14
POSITIVE LOGITS
19
0.25
23
0.22
17
0.22
18
0.22
20
0.21
16
0.21
21
0.18
15
0.18
cad
0.15
td
0.15
Act
ivations
Density 0.004%
Test
Steer
Stacked
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